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Platform Support for Mobile Edge Computing

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dc.contributor.authorLee, Jaehun-
dc.contributor.authorLee, Hochul-
dc.contributor.authorLee, Young Choon-
dc.contributor.authorHan, Hyuck-
dc.contributor.authorKang, Sooyong-
dc.date.accessioned2022-07-13T11:34:15Z-
dc.date.available2022-07-13T11:34:15Z-
dc.date.issued2017-09-
dc.identifier.issn2159-6182-
dc.identifier.issn2159-6190-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151663-
dc.description.abstractComputing resources including mobile devices at the edge of a network are increasingly connected and capable of collaboratively processing what's believed to be too complex to them. Collaboration possibilities with today's feature-rich mobile devices go far beyond simple media content sharing, traditional video conferencing and cloud-based software as a services. The realization of these possibilities for mobile edge computing (MEC) requires non-trivial amounts of efforts in enabling multi-device resource sharing. The current practice of mobile collaborative application development remains largely at the application level. In this paper, we present CollaboRoid, a platform-level solution that provides a set of system services for mobile collaboration. CollaboRoid's platform-level design significantly eases the development of mobile collaborative applications promoting MEC. In particular, it abstracts the sharing of not only hardware resources, but also software resources and multimedia contents between multiple heterogeneous mobile devices. We implement CollaboRoid in the application framework layer of the Android stack and evaluate it with several collaboration scenarios on Nexus 5 and 7 devices. Our experimental results show the feasibility of the platform-level collaboration using CollaboRoid in terms of the latency and energy consumption.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.titlePlatform Support for Mobile Edge Computing-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/CLOUD.2017.84-
dc.identifier.scopusid2-s2.0-85032223670-
dc.identifier.bibliographicCitationIEEE International Conference on Cloud Computing, CLOUD, v.2017-June, pp 624 - 631-
dc.citation.titleIEEE International Conference on Cloud Computing, CLOUD-
dc.citation.volume2017-June-
dc.citation.startPage624-
dc.citation.endPage631-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusCloud computing-
dc.subject.keywordPlusDistributed computer systems-
dc.subject.keywordPlusEnergy utilization-
dc.subject.keywordPlusMobile telecommunication systems-
dc.subject.keywordPlusMultimedia systems-
dc.subject.keywordPlusNetwork function virtualization-
dc.subject.keywordPlusSoftware as a service (SaaS)-
dc.subject.keywordPlusVideo conferencing-
dc.subject.keywordPlusAndroid-
dc.subject.keywordPlusApplication frameworks-
dc.subject.keywordPlusEdge computing-
dc.subject.keywordPlusHeterogeneous mobile devices-
dc.subject.keywordPlusMobile collaboration-
dc.subject.keywordPlusMobile collaborative applications-
dc.subject.keywordPlusMultimedia contents-
dc.subject.keywordPlusResource sharing-
dc.subject.keywordPlusAndroid (operating system)-
dc.subject.keywordAuthorAndroid-
dc.subject.keywordAuthorcloud computing-
dc.subject.keywordAuthoredge computing-
dc.subject.keywordAuthorMobile collaboration-
dc.subject.keywordAuthorresource sharing-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8030642-
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